Evidence map›Paper›PMID 39052350›Full record

ArticlePsychology and aging2024

The Flynn effect and cognitive decline among americans aged 65 years and older.

Yun Zhang, Joseph Lee Rodgers, Patrick O'Keefe, Wei Hou, Stacey Voll, Graciela Muniz-Terrera, Linda Wänström, Frank Mann, Scott M Hofer, Sean A P Clouston

Abstract read
In one paragraph

Article in Psychology and aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Yun ZhangProgram in Public Health, Renaissance School of Medicine, Stony Brook University.ORCID 0000-0002-9837-1365
Joseph Lee RodgersDepartment of Psychology and Human Development, Vanderbilt University.
Patrick O'KeefeDepartment of Neurology, Oregon Health and Science University.
Wei HouProgram in Public Health, Renaissance School of Medicine, Stony Brook University.
Stacey VollInstitute of Aging and Lifelong Health, University of Victoria.
Graciela Muniz-TerreraDepartment of Social Medicine, Heritage College of Osteopathic Medicine, Ohio University.
Linda WänströmDepartment of Computer and Information Science, Linköping University.
Frank MannProgram in Public Health, Renaissance School of Medicine, Stony Brook University.
Scott M HoferDepartment of Neurology, Oregon Health and Science University.
Sean A P CloustonProgram in Public Health, Renaissance School of Medicine, Stony Brook University.ORCID 0000-0002-6124-0329

Funding

The National Health and Trends StudyU01AG032947 · NIA · JOHNS HOPKINS UNIVERSITY · PI VICKI A. FREEDMAN, JENNIFER ANN SCHRACK · 2008 to 2026
$169.4M
Evaluation of Multivariate Causal Factors Linking the Flynn Effect to Declining Dementia Trends and Cognitive AgingR01AG067621 · NIA · PACIFIC HEALTH RESEARCH/ EDUCATION INST · PI HOFER, SCOTT M. · 2019 to 2023
$3.6M
National Institutes of Health; National Institute on AgingNIA NIH HHS R01 AG067621NIA NIH HHS U01 AG032947
6 · The paper itself

Abstract

To contribute to our understanding of cohort differences and the Flynn effect in the cognitive decline among older Americans, this study aims to compare rates of cognitive decline between two birth cohorts within a study of older Americans and to examine the importance of medical and demographic confounders. Analyses used data from the National Health and Aging Trends Study (2011-2019), which recruited older Americans in 2011 and again in 2015 who were then followed for 5 years. We employed mixed-effect models to examine the linear and quadratic main and interaction effects of year of birth while adjusting for covariates such as annual round, sex/gender, education, race/ethnicity, heart disease, hypertension, diabetes, test unfamiliarity, and survey design. We analyzed data from 11,167 participants: 7,325 from 2011 to 2015 and 3,842 from 2015 to 2019. The cohort recruited in 2015 was born, on average, 5.33 years later than that recruited in 2011 and had higher functioning than the one recruited in 2011 across all observed cognitive domains that persisted after adjusting for covariates. In multivariable-adjusted analyses, a 1-year increase in year of birth was associated with increased episodic memory (β = 0.045, SE = 0.001, p < .001), orientation (β = 0.034, SE = 0.001, p < .001), and executive function (β = 0.036, SE = 0.001, p < .001). Participants born 1 year later had slower rates of decline in episodic memory (β = 0.004, SE = 0.000, p < .001), orientation (β = 0.003, SE = 0.000, p < .001), and executive function (β = 0.001, SE = 0.000, p = .002). Additionally, sex/gender modified this relationship for episodic memory (-0.007, SE = 0.002, p < .001), orientation (-0.005, SE = 0.002, p = .008), and executive function (-0.008, SE = 0.002, p < .001). These results demonstrate the persistence of the Flynn effect in old age across cognitive domains and identified a deceleration in the rate of cognitive decline across cognitive domains. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Indexed as

Cognitive DysfunctionAgedAged, 80 and overBirth CohortExecutive FunctionFemaleHumansMaleMemory, EpisodicUnited States

Identifiers

PMID39052350
PMCPMC11959625

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.